Exploring big volume sensor data with Vroom

@article{Moll2017ExploringBV,
  title={Exploring big volume sensor data with Vroom},
  author={Oscar Moll and Aaron Zalewski and S. Pillai and S. Madden and M. Stonebraker and V. Gadepally},
  journal={Proc. VLDB Endow.},
  year={2017},
  volume={10},
  pages={1973-1976}
}
State of the art sensors within a single autonomous vehicle (AV) can produce video and LIDAR data at rates greater than 30 GB/hour. Unsurprisingly, even small AV research teams can accumulate tens of terabytes of sensor data from multiple trips and multiple vehicles. AV practitioners would like to extract information about specific locations or specific situations for further study, but are often unable to. Queries over AV sensor data are different from generic analytics or spatial queries… Expand
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